CompTIA Data+ (DA0-002)Data Concepts and EnvironmentsMedium
A data scientist is preparing a dataset for a machine learning model that predicts customer churn. The dataset includes a column 'CustomerSegment' with values like 'New', 'Regular', and 'Premium'. While these segments have a clear order of value to the business, the difference between 'New' and 'Regular' is not necessarily the same as between 'Regular' and 'Premium'. What type of data is 'CustomerSegment'?
- AInterval data
- BRatio data
- CNominal data
- DOrdinal data
Show answer & explanationAnswer & explanation
Correct answer: D. Ordinal data
Ordinal data has categories with a meaningful order, but the differences between successive categories are not uniform or measurable. 'New', 'Regular', and 'Premium' have an order of increasing value but the 'distance' between them isn't quantifiable, making it ordinal.
Why the other options are wrong
- A. Interval data has equal intervals between values but lacks a true zero, unlike 'CustomerSegment' where intervals are not equal.
- B. Ratio data requires a true zero and equal intervals, which 'CustomerSegment' does not have.
- C. Nominal data has no inherent order, but 'CustomerSegment' clearly has an order.
Ordinal Data
A type of categorical data where categories have a meaningful order or ranking, but the differences between successive categories are not uniform or precisely measurable.
- Categories can be ranked.
- Intervals between ranks are not equal or known.
- Examples: satisfaction ratings (Good, Better, Best), education levels (High School, College, Grad).
- Allows for median and mode, but not mean.
Memory trick: Ordinal: Order Matters, but not the distance.